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Rename explicit filter to word filter to be more specific
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parent
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commit
f930324350
6 changed files with 28 additions and 32 deletions
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@ -125,7 +125,6 @@ pip install --upgrade khoj-assistant
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- Semantic search using the bi-encoder is fairly fast at \<50 ms
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- Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results
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- Applying explicit filters is very slow currently at \~6s. This is because the filters are rudimentary. Considerable speed-ups can be achieved using indexes etc
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### Indexing performance
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@ -16,8 +16,6 @@ from fastapi.templating import Jinja2Templates
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from src.configure import configure_search
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from src.search_type import image_search, text_search
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from src.processor.conversation.gpt import converse, extract_search_type, message_to_log, message_to_prompt, understand, summarize
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from src.search_filter.explicit_filter import ExplicitFilter
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from src.search_filter.date_filter import DateFilter
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from src.utils.rawconfig import FullConfig
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from src.utils.config import SearchType
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from src.utils.helpers import get_absolute_path, get_from_dict
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@ -15,13 +15,13 @@ from src.utils.config import SearchType
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logger = logging.getLogger(__name__)
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class ExplicitFilter:
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class WordFilter:
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# Filter Regex
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required_regex = r'\+"(\w+)" ?'
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blocked_regex = r'\-"(\w+)" ?'
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def __init__(self, filter_directory, search_type: SearchType, entry_key='raw'):
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self.filter_file = resolve_absolute_path(filter_directory / f"{search_type.name.lower()}_explicit_filter_entry_word_sets.pkl")
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self.filter_file = resolve_absolute_path(filter_directory / f"word_filter_{search_type.name.lower()}_index.pkl")
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self.entry_key = entry_key
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self.search_type = search_type
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self.word_to_entry_index = dict()
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@ -34,7 +34,7 @@ class ExplicitFilter:
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with self.filter_file.open('rb') as f:
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self.word_to_entry_index = pickle.load(f)
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end = time.time()
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logger.debug(f"Load {self.search_type} entries by word set from file: {end - start} seconds")
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logger.debug(f"Load word filter index for {self.search_type} from {self.filter_file}: {end - start} seconds")
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else:
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start = time.time()
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self.cache = {} # Clear cache on (re-)generating entries_by_word_set
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@ -51,14 +51,13 @@ class ExplicitFilter:
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with self.filter_file.open('wb') as f:
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pickle.dump(self.word_to_entry_index, f)
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end = time.time()
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logger.debug(f"Convert all {self.search_type} entries to word sets: {end - start} seconds")
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logger.debug(f"Index {self.search_type} for word filter to {self.filter_file}: {end - start} seconds")
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return self.word_to_entry_index
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def can_filter(self, raw_query):
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"Check if query contains explicit filters"
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# Extract explicit query portion with required, blocked words to filter from natural query
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"Check if query contains word filters"
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required_words = re.findall(self.required_regex, raw_query)
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blocked_words = re.findall(self.blocked_regex, raw_query)
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@ -67,7 +66,7 @@ class ExplicitFilter:
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def apply(self, raw_query, raw_entries, raw_embeddings):
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"Find entries containing required and not blocked words specified in query"
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# Separate natural query from explicit required, blocked words filters
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# Separate natural query from required, blocked words filters
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start = time.time()
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required_words = set([word.lower() for word in re.findall(self.required_regex, raw_query)])
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@ -83,7 +82,7 @@ class ExplicitFilter:
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# Return item from cache if exists
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cache_key = tuple(sorted(required_words)), tuple(sorted(blocked_words))
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if cache_key in self.cache:
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logger.info(f"Explicit filter results from cache")
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logger.info(f"Return word filter results from cache")
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entries, embeddings = self.cache[cache_key]
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return query, entries, embeddings
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@ -8,7 +8,7 @@ import time
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import torch
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from sentence_transformers import SentenceTransformer, CrossEncoder, util
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from src.search_filter.date_filter import DateFilter
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from src.search_filter.explicit_filter import ExplicitFilter
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from src.search_filter.word_filter import WordFilter
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# Internal Packages
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from src.utils import state
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@ -171,7 +171,7 @@ def setup(text_to_jsonl, config: TextContentConfig, search_config: TextSearchCon
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corpus_embeddings = compute_embeddings(entries, bi_encoder, config.embeddings_file, regenerate=regenerate)
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filter_directory = resolve_absolute_path(config.compressed_jsonl.parent)
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filters = [DateFilter(), ExplicitFilter(filter_directory, search_type=search_type)]
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filters = [DateFilter(), WordFilter(filter_directory, search_type=search_type)]
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for filter in filters:
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filter.load(entries, regenerate=regenerate)
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@ -140,7 +140,7 @@ def test_notes_search_with_include_filter(content_config: ContentConfig, search_
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# Assert
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assert response.status_code == 200
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# assert actual_data contains explicitly included word "Emacs"
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# assert actual_data contains word "Emacs"
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search_result = response.json()[0]["entry"]
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assert "Emacs" in search_result
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@ -156,6 +156,6 @@ def test_notes_search_with_exclude_filter(content_config: ContentConfig, search_
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# Assert
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assert response.status_code == 200
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# assert actual_data does not contains explicitly excluded word "Emacs"
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# assert actual_data does not contains word "Emacs"
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search_result = response.json()[0]["entry"]
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assert "clone" not in search_result
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@ -2,19 +2,19 @@
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import torch
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# Application Packages
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from src.search_filter.explicit_filter import ExplicitFilter
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from src.search_filter.word_filter import WordFilter
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from src.utils.config import SearchType
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def test_no_explicit_filter(tmp_path):
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def test_no_word_filter(tmp_path):
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# Arrange
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explicit_filter = ExplicitFilter(tmp_path, SearchType.Org)
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word_filter = WordFilter(tmp_path, SearchType.Org)
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embeddings, entries = arrange_content()
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q_with_no_filter = 'head tail'
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# Act
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can_filter = explicit_filter.can_filter(q_with_no_filter)
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ret_query, ret_entries, ret_emb = explicit_filter.apply(q_with_no_filter, entries.copy(), embeddings)
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can_filter = word_filter.can_filter(q_with_no_filter)
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ret_query, ret_entries, ret_emb = word_filter.apply(q_with_no_filter, entries.copy(), embeddings)
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# Assert
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assert can_filter == False
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@ -23,15 +23,15 @@ def test_no_explicit_filter(tmp_path):
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assert ret_entries == entries
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def test_explicit_exclude_filter(tmp_path):
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def test_word_exclude_filter(tmp_path):
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# Arrange
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explicit_filter = ExplicitFilter(tmp_path, SearchType.Org)
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word_filter = WordFilter(tmp_path, SearchType.Org)
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embeddings, entries = arrange_content()
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q_with_exclude_filter = 'head -"exclude_word" tail'
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# Act
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can_filter = explicit_filter.can_filter(q_with_exclude_filter)
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ret_query, ret_entries, ret_emb = explicit_filter.apply(q_with_exclude_filter, entries.copy(), embeddings)
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can_filter = word_filter.can_filter(q_with_exclude_filter)
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ret_query, ret_entries, ret_emb = word_filter.apply(q_with_exclude_filter, entries.copy(), embeddings)
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# Assert
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assert can_filter == True
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@ -40,15 +40,15 @@ def test_explicit_exclude_filter(tmp_path):
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assert ret_entries == [entries[0], entries[2]]
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def test_explicit_include_filter(tmp_path):
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def test_word_include_filter(tmp_path):
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# Arrange
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explicit_filter = ExplicitFilter(tmp_path, SearchType.Org)
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word_filter = WordFilter(tmp_path, SearchType.Org)
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embeddings, entries = arrange_content()
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query_with_include_filter = 'head +"include_word" tail'
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# Act
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can_filter = explicit_filter.can_filter(query_with_include_filter)
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ret_query, ret_entries, ret_emb = explicit_filter.apply(query_with_include_filter, entries.copy(), embeddings)
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can_filter = word_filter.can_filter(query_with_include_filter)
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ret_query, ret_entries, ret_emb = word_filter.apply(query_with_include_filter, entries.copy(), embeddings)
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# Assert
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assert can_filter == True
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@ -57,15 +57,15 @@ def test_explicit_include_filter(tmp_path):
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assert ret_entries == [entries[2], entries[3]]
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def test_explicit_include_and_exclude_filter(tmp_path):
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def test_word_include_and_exclude_filter(tmp_path):
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# Arrange
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explicit_filter = ExplicitFilter(tmp_path, SearchType.Org)
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word_filter = WordFilter(tmp_path, SearchType.Org)
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embeddings, entries = arrange_content()
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query_with_include_and_exclude_filter = 'head +"include_word" -"exclude_word" tail'
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# Act
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can_filter = explicit_filter.can_filter(query_with_include_and_exclude_filter)
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ret_query, ret_entries, ret_emb = explicit_filter.apply(query_with_include_and_exclude_filter, entries.copy(), embeddings)
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can_filter = word_filter.can_filter(query_with_include_and_exclude_filter)
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ret_query, ret_entries, ret_emb = word_filter.apply(query_with_include_and_exclude_filter, entries.copy(), embeddings)
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# Assert
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assert can_filter == True
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